Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions
The paper presents the most representative – from the three-year measurement time period – characteristics of daily and monthly electricity production from a photovoltaic conversion using modules installed in a fixed and 2-axis tracking construction. Results are presented for selected summer, autumn...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://doi.org/10.1051/e3sconf/20171901002 |
| _version_ | 1818614891459641344 |
|---|---|
| author | Bugała Artur Bednarek Karol Kasprzyk Leszek Tomczewski Andrzej |
| author_facet | Bugała Artur Bednarek Karol Kasprzyk Leszek Tomczewski Andrzej |
| author_sort | Bugała Artur |
| collection | DOAJ |
| description | The paper presents the most representative – from the three-year measurement time period – characteristics of daily and monthly electricity production from a photovoltaic conversion using modules installed in a fixed and 2-axis tracking construction. Results are presented for selected summer, autumn, spring and winter days. Analyzed measuring stand is located on the roof of the Faculty of Electrical Engineering Poznan University of Technology building. The basic parameters of the statistical analysis like mean value, standard deviation, skewness, kurtosis, median, range, or coefficient of variation were used. It was found that the asymmetry factor can be useful in the analysis of the daily electricity production from a photovoltaic conversion. In order to determine the repeatability of monthly electricity production, occurring between the summer, and summer and winter months, a non-parametric Mann-Whitney U test was used as a statistical solution. In order to analyze the repeatability of daily peak hours, describing the largest value of the hourly electricity production, a non-parametric Kruskal-Wallis test was applied as an extension of the Mann-Whitney U test. Based on the analysis of the electric energy distribution from a prepared monitoring system it was found that traditional forecasting methods of the electricity production from a photovoltaic conversion, like multiple regression models, should not be the preferred methods of the analysis. |
| first_indexed | 2024-12-16T16:25:13Z |
| format | Article |
| id | doaj.art-4b8c072328fd449d8b0467d1c861f208 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T16:25:13Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-4b8c072328fd449d8b0467d1c861f2082022-12-21T22:24:46ZengEDP SciencesE3S Web of Conferences2267-12422017-01-01190100210.1051/e3sconf/20171901002e3sconf_eems2017_01002Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructionsBugała ArturBednarek KarolKasprzyk LeszekTomczewski AndrzejThe paper presents the most representative – from the three-year measurement time period – characteristics of daily and monthly electricity production from a photovoltaic conversion using modules installed in a fixed and 2-axis tracking construction. Results are presented for selected summer, autumn, spring and winter days. Analyzed measuring stand is located on the roof of the Faculty of Electrical Engineering Poznan University of Technology building. The basic parameters of the statistical analysis like mean value, standard deviation, skewness, kurtosis, median, range, or coefficient of variation were used. It was found that the asymmetry factor can be useful in the analysis of the daily electricity production from a photovoltaic conversion. In order to determine the repeatability of monthly electricity production, occurring between the summer, and summer and winter months, a non-parametric Mann-Whitney U test was used as a statistical solution. In order to analyze the repeatability of daily peak hours, describing the largest value of the hourly electricity production, a non-parametric Kruskal-Wallis test was applied as an extension of the Mann-Whitney U test. Based on the analysis of the electric energy distribution from a prepared monitoring system it was found that traditional forecasting methods of the electricity production from a photovoltaic conversion, like multiple regression models, should not be the preferred methods of the analysis.https://doi.org/10.1051/e3sconf/20171901002 |
| spellingShingle | Bugała Artur Bednarek Karol Kasprzyk Leszek Tomczewski Andrzej Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions E3S Web of Conferences |
| title | Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions |
| title_full | Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions |
| title_fullStr | Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions |
| title_full_unstemmed | Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions |
| title_short | Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions |
| title_sort | statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions |
| url | https://doi.org/10.1051/e3sconf/20171901002 |
| work_keys_str_mv | AT bugałaartur statisticalanalysisoftheelectricenergyproductionfromphotovoltaicconversionusingmobileandfixedconstructions AT bednarekkarol statisticalanalysisoftheelectricenergyproductionfromphotovoltaicconversionusingmobileandfixedconstructions AT kasprzykleszek statisticalanalysisoftheelectricenergyproductionfromphotovoltaicconversionusingmobileandfixedconstructions AT tomczewskiandrzej statisticalanalysisoftheelectricenergyproductionfromphotovoltaicconversionusingmobileandfixedconstructions |